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Optimization of Branch Airflow Volume for Mine Ventilation Network Based on Sensitivity Matrix

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  • Jie Hou

    (School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
    Anhui Mine IOT and Security Monitoring Technology Key Laboratory, Hefei 230088, China)

  • Gang Nie

    (School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Guoqing Li

    (School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Wei Zhao

    (Sanshandao Gold Mine, Shandong Gold Group Mining (Laizhou) Co., Ltd., Yantai 261417, China)

  • Baoli Sheng

    (Sanshandao Gold Mine, Shandong Gold Group Mining (Laizhou) Co., Ltd., Yantai 261417, China)

Abstract

Underground mines have gradually entered the stage of deep mining with the consumption of shallow mineral resources, which makes mine ventilation networks generally complicated and the problem of unstable supply of branch airflow volume in deep-level ventilation networks increasingly serious. The scientific distribution of the airflow volume between operation areas has become an important problem in the optimization of mine ventilation systems. This study takes the ventilation system of the Xinli Submine of Sanshandao Gold Mine as an example to analyze the airflow volume regulation demand of the deep-level section stope to further improve the coordination of the airflow volume distribution in the underground mine. The drawing and equivalent simplification of the ventilation network diagram are completed according to the engineering parameters of the target level roadway, and the sensitivity matrix is calculated using a formula. The optimization of the adjustment branch and the formulation of the adjustment scheme are carried out based on the sensitivity matrix. By realizing the adjustment objective of the branch airflow volume via comparing the airflow volume of the ventilation network before and after adjustment, the adjustment scheme can make the airflow volume distribution in the level more balanced. The results of our study show that branch sensitivity theory is theoretically feasible for analyzing and solving the problem of the mine ventilation network, which has certain practical significance for the adjustment of airflow volume in mines.

Suggested Citation

  • Jie Hou & Gang Nie & Guoqing Li & Wei Zhao & Baoli Sheng, 2023. "Optimization of Branch Airflow Volume for Mine Ventilation Network Based on Sensitivity Matrix," Sustainability, MDPI, vol. 15(16), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12427-:d:1218159
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    References listed on IDEAS

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    1. Prince, & Hati, Ananda Shankar & Kumar, Prashant, 2023. "An adaptive neural fuzzy interface structure optimisation for prediction of energy consumption and airflow of a ventilation system," Applied Energy, Elsevier, vol. 337(C).
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    3. Huiuk Yi & Minsik Kim & Dongkil Lee & Jongmyung Park, 2022. "Applications of Computational Fluid Dynamics for Mine Ventilation in Mineral Development," Energies, MDPI, vol. 15(22), pages 1-24, November.
    4. Chatterjee, Arnab & Zhang, Lijun & Xia, Xiaohua, 2015. "Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff," Applied Energy, Elsevier, vol. 146(C), pages 65-73.
    5. Wacław Dziurzyński & Andrzej Krach & Teresa Pałka, 2017. "Airflow Sensitivity Assessment Based on Underground Mine Ventilation Systems Modeling," Energies, MDPI, vol. 10(10), pages 1-15, September.
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